Top Machine Learning Jobs in India

The Senior Technology Engineer will design, deploy, and optimize AI-driven solutions across on-premises and cloud, focusing on scalable inference systems and MLOps.

The Data Science & Machine Learning Lead will drive ML initiatives, translating business problems into scalable solutions, leading model development, and ensuring measurable business impact.

As a Principal Engineer in AI/ML, you will design, develop, and maintain generative AI models and platforms, collaborating with cross-functional teams to drive innovation and scaling efforts in AI technology.

The Director of AI/ML & Data Science will lead data science teams, establish technical rigor, manage cross-functional collaborations, and drive initiatives in AI, NLP, and analytics.

As a Sr. Python AI/ML Developer, you will design systems connecting LLMs with data workflows, focusing on intelligent file processing and metadata reasoning, while building clean API interfaces and ensuring performance optimization.

Manage the Other Technologies team delivering innovative solutions in cloud computing, AI/ML, and blockchain while aligning with business goals and leading project execution.

As a Lead Machine Learning Engineer, design and maintain ML systems, optimize workflows, and mentor team members in production environments.

The AI/ML Engineer will build scalable data-intensive AI/ML solutions, develop pipelines, optimize data processing systems, and manage end-to-end AI/ML project lifecycles.

The Software Machine Learning Test Engineer will develop test automation for AI components, improve test infrastructure, and ensure software quality for machine learning models using Python and GitLab CI/CD.

The ML QA Lead ensures quality in Cerebras software across ML workloads, focusing on testing accuracy, performance, and usability. Responsibilities include driving software quality, automating workflows, debugging issues, and collaborating across teams.

Lead AI projects by translating business needs into technical solutions, developing AI applications, and integrating AI capabilities across platforms. Oversee large-scale digital transformation initiatives while mentoring teams and ensuring efficient SDLC processes.

The ML Engineer III will build, train, and optimize models, perform data processing, productionize models using Databricks, and monitor performance in AWS environments.

Develop and optimize machine learning infrastructure and models for ad technology. Collaborate with teams for data analysis and engineering.

The role involves designing, building, and scaling ML/RL systems that enhance customer experience while ensuring reliability and efficiency in production. Responsibilities include model optimization, deployment, and monitoring for performance improvements.

The role involves building and operating ML services, converting prototypes into production models, managing pipelines, and ensuring system reliability across Tekion's cloud platforms.

The Architect - Machine Learning role involves designing cloud ML solutions on AWS, implementing Generative AI models, and collaborating with cross-functional teams to enhance LLM performance for user-friendly applications.

The Associate Architect will lead the development and deployment of machine learning solutions on Azure, manage the ML lifecycle, and optimize existing models while providing technical leadership to project teams.

The AI/ML Engineer will design, develop, and deploy machine learning models, utilize various learning techniques, and enhance model performance through data processing. They will work with cloud platforms and CI/CD pipelines while leveraging MLOps practices.

The Senior Engineer will design and develop full-stack applications on GCP, integrating AI/ML capabilities, mentor junior engineers, and optimize development practices.

The Senior Manager, ML Engineering oversees AI product features, leads technical initiatives, mentors a team of AI Engineers, and collaborates across departments to enhance AI solutions and efficiency.

As a Senior Machine Learning Engineer, you'll design and scale intelligent systems for travel solutions, focusing on content, pricing, and trust. Responsibilities include collaborating with teams, implementing ML solutions, mentoring, and driving innovative initiatives to enhance performance across Expedia's marketplace.

The Lead AI/ML Engineer will design, implement, and govern enterprise AI/ML solutions while partnering with business stakeholders and ensuring compliance with governance standards.

The Senior Product Manager will lead ML-driven decision systems for a global Demand Side Platform, defining business objectives and owning the lifecycle of ML initiatives, collaborating with data science and engineering teams for successful deployment.

As a Machine Learning Engineer, you'll build tools and infrastructure for behavior development cycles, collaborating closely with teams to enhance data collection, training, and evaluation processes for robotics.

Design, develop, and deploy machine learning models and AI solutions. Collaborate with teams for intelligent automation and conduct research on new AI technologies.